Exam 24: Database Marketing

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A market-basket analysis is used to explore cross-selling opportunities.

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________ is a way of analyzing and ranking customers according to their purchasing patterns.

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Which of the following statements is true about decision trees?

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In marketing transactions, the fact that customers who buy product X also buy product Y creates a ________ opportunity.

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The RFM score is obtained by ranking customers based on the positive feedback for a product after purchasing it.

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Data mining techniques are essential for database marketing.

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In market-basket terminology, a conditional probability estimate is referred to as ________.

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A high F score denotes that the customer has bought an expensive item recently.

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Groups created by decision tree algorithms are as different from each other as possible.

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Which of the following is the basic idea of the decision tree technique?

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Which of the following is a data mining technique for determining sales patterns?

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In RFM analysis, customers who have bought the least expensive items are indicated by an M score of ________.

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In RFM analysis, an F score of 1 shows that ________.

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A reporting system that generates RFM data can be automated.

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A market-basket analysis shows the products that customers tend to buy together.

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Customers with an RFM score of 555 are highly valued by organizations.

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A minimum difference among groups is used as the criterion for constructing the decision tree.

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Describe the process of conducting RFM analysis.

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Databases are not a key component of database marketing.

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The frequency of customer purchases is not a determining factor for RFM scores.

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